Workshop on Machine Learning for cryoEM

Overview

Cryo-electron microscopy (cryo-EM) has become a major imaging modality for atomic resolution structural biology. Using cryo-EM  we can resolve the atomic structures of nanometer macromolecular machines that are not amenable to imaging techniques such as macromolecular crystallography. The related technique of cryo-electron tomography (cryo-ET) is also indispensable for examining the organization and macromolecular structure of cells at nanometer resolution.

Currently the cryo-EM community faces unprecedented data loads where the only practical way to analyze them requires a heavy reliance on specialized processing algorithms. Recent breakthroughs in machine learning have created opportunities to augment these algorithms with human intuition, complex prior knowledge, and robust validation schemes.

This unique IMS-sponsored workshop gathers international specialists in cryo-EM, machine learning, and mathematical sciences to share and inspire future applications of machine learning in cryo-EM.